{ "cells": [ { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:26:18.643356Z", "start_time": "2020-11-30T10:26:18.636482Z" } }, "outputs": [], "source": [ "import warnings\n", "warnings.simplefilter(\"ignore\", UserWarning)\n", "warnings.filterwarnings(\"ignore\")\n", "\n", "import zipfile\n", "from urllib.request import urlopen\n", "import dask.bag as db\n", "import dask.dataframe as dd\n", "import pandas as pd\n", "from dask.distributed import Client\n", "\n", "import plotly.express as px\n", "import numpy as np\n", "import datetime\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import matplotlib.dates as mdates\n", "import matplotlib.ticker as mtick\n", "from matplotlib.pyplot import xticks\n", "import matplotlib.dates as dates\n", "matplotlib.style.use('seaborn')\n", "\n", "import calplot\n", "from folium.plugins import TimeSliderChoropleth\n", "import folium\n", "import branca.colormap as cm\n", "import geopandas as gpd\n", "import fiona\n", "from shapely.geometry import Polygon, mapping\n", "import shapefile\n", "\n", "fiona.drvsupport.supported_drivers['KML'] = 'rw'\n", "fiona.drvsupport.supported_drivers['LIBKML'] = 'rw'\n", "\n", "# printing\n", "from IPython.display import Markdown, display\n", "def printmd(string):\n", " display(Markdown(string))" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:26:19.726366Z", "start_time": "2020-11-30T10:26:19.721266Z" } }, "outputs": [], "source": [ "from IPython.display import HTML, display\n", "import pprint" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:26:21.010765Z", "start_time": "2020-11-30T10:26:20.995605Z" } }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "
\n" ], "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pp = pprint.PrettyPrinter(indent=4, width=100)\n", "\n", "\n", "HTML('''\n", "\n", "\n", "\n", "\n", "
\n", "''')" ] }, { "cell_type": "markdown", "metadata": { "ExecuteTime": { "end_time": "2020-11-30T06:48:05.306049Z", "start_time": "2020-11-30T06:48:05.299551Z" } }, "source": [ "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Comparing travel behavior during 2019 and 2020 in the New York City Taxi and Limousine Commission trip records\n", "\n", "by Nika Karen Espiritu and Jasper Pangan" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
EXECUTIVE SUMMARY
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "New York declared their first COVID-19 case on March 1, 2020. Since then, it has turned local economy upside down and spelled the deaths of thousands of people. For the safety of its people, the government has issued strict stay-at-home orders. For the New York taxi drivers, this has endangered their livelihoods and families. In this paper, we ask how travel patterns and behaviors have changed from 2019 to 2020 with the pandemic in place. To answer this question, we gathered data from the New York City (NYC) Taxi and Limousine Commission (TLC), pre-processed it, and conducted an exploratory data analysis (EDA) to provide descriptive analytics. The dataset considered in this study spans from January 1, 2019 until June 30, 2020, covering until Phase 2 of New York’s reopening plans. From our EDA, we found little change in routes and in travel times of New Yorkers, but instead we found that New Yorkers strictly complied with the stay-at-home measures enacted by the government, thus signifying a drop in the volume of taxi transactions. People usually travelled alone in pre-pandemic times, but this phenomenon increased during the pandemic. We also found that cashless transactions were banned by legislators, and people are experiencing the impacts of this legislation. With the reopening of New York, we are now seeing a small increase in volume of transactions, and this should help NYC taxi drivers." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
INTRODUCTION
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "China announced the first case of coronavirus on December 31, 2019 [[1]](#ref1). By March 1, 2020, New York City (NYC) confirmed its first case [[2]](#ref2). Unlike other parts of the world affected by the virus, the government of New York City initially brushed off the crisis, with the NYC Health Commissioner even stating that the risk of New Yorkers were “low” [[3]](#ref3). A month later, it quickly became the epicenter of the US as it had more cases than China [[4]](#ref4). \n", "\n", "Government response has worked double time to balance safety of the people as well as health of the economy. However, the impact of the pandemic still stands to this day: unemployment has surged, businesses and restaurants have shut down, and lives have been lost [[5]](#ref5). \n", "\n", "In this paper, we zoom in to see how the pandemic has affected transactions made with New York taxi drivers and compare this to their figures before the pandemic. **With New York City being the epicenter of the COVID-19 pandemic, how has travel behavior changed through the course of 2020 compared to pre-pandemic times?** \n", "\n", "To answer this question, we extracted and cleaned the NYC TLC data and conducted an exploratory data analysis (EDA) to answer various questions regarding the pandemic’s effect on mobility, economy, and society. The whole process is done by a Dask cluster." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
DATA
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Data of trips taken by taxis and vehicles in New York City were retrieved from the NYC Taxi and Limousine Commission (TLC) Trip Record Data found in the Registry of Open Data on Amazon Web Services (AWS) S3 bucket [[6]](#ref6).\n", "\n", "Data available in the NYC TLC applicable for this research is only from January 1, 2019 to June 30, 2020. This corresponds to $9.36$ GB worth of data. After preprocessing, this corresponds to $80,810,133$ transactions in 2019 and $15,859,906$ transactions in 2020." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
METHODOLOGY
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To uncover changes in mobility of New Yorkers due to COVID-19, a total of $96,670,039$ transactions were retrieved from AWS Registry of Open Data [[6]](#ref6). The general workflow for providing descriptive analytics as shown in [Figure 1](#fig1) involves the following steps:\n", "\n", "1. Establishment of Dask Cluster\n", "2. Data Extraction\n", "3. Data Processing\n", "4. Exploratory Data Analysis\n", "5. Descriptive Analytics\n", "\n", "Each step of the workflow will be discussed in the succeeding sections.\n", "\n", "**Figure 1**. Workflow for descriptive analytics of NYC Taxi Trips.\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### 1. Establishment of Dask Cluster\n", "\n", "We first set up our `Dask` scheduler and workers through Amazon Web Services’ Elastic Compute Cloud (AWS EC2) web service, as we will be dealing with $9.36$ GB of data thus the need for distributed computing. To run the succeeding codes, we have assigned Jojie as our client. " ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:26:31.652170Z", "start_time": "2020-11-30T10:26:29.184409Z" } }, "outputs": [], "source": [ "client = Client('72.44.51.212:8786')" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:26:57.221313Z", "start_time": "2020-11-30T10:26:56.750914Z" } }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "
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" ], "text/plain": [ "" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "client" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### 2. Data Extraction\n", "\n", "After establishing the connections of our client, scheduler, and workers, we extracted NYC TLC data from the AWS Registry of Open Data [[6]](#ref6). The extracted data covers the period of January 2019 to June 2020 (the most recent data as of this study). To focus our efforts, the scope was trimmed down to Yellow Taxis which refers to the official taxicabs in New York City.\n", "\n", "The following datasets were extracted to supplement our analysis: \n", "1. NYC Taxi Zones `.shp` file [[7]](#ref7);\n", "2. NYC JSON cartographic file with ZIP Code Tabulation Areas (ZCTAs) `.txt` file [[8]](#ref8); and\n", "3. NYC latest COVID-19 cases count [[9]](#ref9). \n", "\n", "These datasets helped us in creating maps and accurately identifying zones." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:27:27.557037Z", "start_time": "2020-11-30T10:26:57.225028Z" } }, "outputs": [], "source": [ "df_2019 = dd.read_csv('s3://nyc-tlc/trip data/yellow_tripdata_2019-*.csv',\n", " assume_missing=True,\n", " storage_options={'anon': True})\n", "\n", "df_2020 = dd.read_csv('s3://nyc-tlc/trip data/yellow_tripdata_2020-*.csv',\n", " assume_missing=True,\n", " storage_options={'anon': True})" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:27:27.564483Z", "start_time": "2020-11-30T10:27:27.559602Z" } }, "outputs": [ { "data": { "text/html": [ "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%html\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### 3. Data Processing\n", "\n", "We then cleaned the data by applying the following: \n", "- Extracting year, month, day, and hour of transaction based on `tpep_pickup_datetime`; \n", "- Adding a trip count; and \n", "- Removing invalid trips (i.e., trips with invalid zones, no fare, no distance traveled, and no passengers). \n", " \n", "We arrive at the following variables, ready for use in the EDA. These variables are found in [Table 1](#tab1). \n", "\n", "**Table 1**. Data description of variables used. \n", " \n", "|Data Field|Description| \n", "|---|---| \n", "|PULocationID|ID of pick-up zone| \n", "|DULocationID|ID of drop-off zone| \n", "|payment_type|Payment Type where
1:Credit card,
2:Cash,
3:No charge,
4:Dispute| \n", "|passenger_count|Number of passengers| \n", "|trip*|Number of transaction|\n", "|year*|Year of transaction| \n", "|month*|Month of transaction|\n", "|day*|Day of transaction| \n", "|hour*|Hour of transaction| \n", " \n", "**derived field* \n", " \n", "Separate Dask dataframes were built for hourly, daily, and monthly aggregation using helper functions.\n", "\n", "The conduct of the exploratory data analysis and its structure are found in the succeeding section." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:27:27.647941Z", "start_time": "2020-11-30T10:27:27.566581Z" } }, "outputs": [], "source": [ "def clean_data(df, year):\n", " \"\"\"Return a processed data frame\"\"\"\n", " # Add month of transaction\n", " df['month'] = (df.tpep_pickup_datetime\n", " .astype('M8[us]')\n", " .dt.month)\n", " # Add day of transaction\n", " df['day'] = (df.tpep_pickup_datetime\n", " .astype('M8[us]')\n", " .dt.day)\n", " # Add year of transaction\n", " df['year'] = (df.tpep_pickup_datetime\n", " .astype('M8[us]')\n", " .dt.year)\n", " # Add hour of transaction\n", " df['hour'] = (df.tpep_pickup_datetime\n", " .astype('M8[us]')\n", " .dt.hour)\n", " # Add trip count per transaction\n", " df['trip'] = 1\n", "\n", " # Filter data\n", " df = df[(df['total_amount'] > 0) &\n", " (~df['passenger_count'].isna()) &\n", " (df['passenger_count'] > 0) &\n", " (df['PULocationID'] < 264) &\n", " (df['DOLocationID'] < 264) &\n", " (df['trip_distance'] > 0) &\n", " (df['year'] == year)]\n", "\n", " if year == 2020:\n", " df = df[df['month'] < 7]\n", "\n", " columns = ['month', 'day', 'year', 'hour', 'trip',\n", " 'payment_type', 'passenger_count', 'PULocationID',\n", " 'DOLocationID']\n", " return df[columns]\n", "\n", "\n", "df_clean_2019 = clean_data(df_2019, 2019)\n", "df_clean_2020 = clean_data(df_2020, 2020)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:27:27.866474Z", "start_time": "2020-11-30T10:27:27.649764Z" } }, "outputs": [], "source": [ "def agg_daily(df):\n", " \"\"\"Return a persisted data frame aggregated daily\"\"\"\n", " return (df.groupby(['month', 'day', 'payment_type', \n", " 'passenger_count', 'PULocationID','DOLocationID'])\n", " .trip\n", " .count()\n", " .reset_index()\n", " .persist())\n", "\n", "df_agg_daily_2020 = agg_daily(df_clean_2020)\n", "df_agg_daily_2019 = agg_daily(df_clean_2019) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 4. Exploratory Data Analysis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "According to the NYC TLC, demand for the New York taxi went down by 90%, placing 83% of drivers in a tough spot wherein they have either struggled to afford food or could not afford food [[10]](#ref10). At the same time, COVID-19 cases have continuously increased, as shown in [Figure 2](#fig2). This has also led to nearly 40% of drivers either contracting COVID-19 or living with someone who tested positive for the virus [[10]](#ref10). With the drop in demand, what does this look like? By the numbers, how did COVID-19 affect mobility of New Yorkers? With the phased opening and decreasing case rates, are things looking better for NYC taxi drivers?" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:27:29.358815Z", "start_time": "2020-11-30T10:27:27.937292Z" } }, "outputs": [], "source": [ "path = ('https://raw.githubusercontent.com/fedhere/PUI2015_EC/master/'\n", " 'mam1612_EC/nyc-zip-code-tabulation-areas-polygons.geojson')\n", "with urlopen(path) as response:\n", " data = json.load(response)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:27:29.375380Z", "start_time": "2020-11-30T10:27:29.360729Z" } }, "outputs": [], "source": [ "df_covid = pd.read_csv('data-by-modzcta.csv')\n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:27:30.146775Z", "start_time": "2020-11-30T10:27:29.379980Z" } }, "outputs": [ { "data": { "text/markdown": [ "**Figure 2**. Total COVID-19 cases by zip code as of November 26, 2020." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.choropleth_mapbox(df_covid,\n", " center = dict(lat=40.74, lon=-73.96),\n", " geojson=data,\n", " featureidkey='properties.postalCode',\n", " locations='MODIFIED_ZCTA',\n", " color='COVID_CASE_COUNT',\n", " mapbox_style='carto-positron',\n", " zoom=8.5, \n", " color_continuous_scale='YlOrRd')\n", "printmd(\"**Figure 2**. Total COVID-19 cases by zip code \"\n", " \"as of November 26, 2020.\")\n", "fig.show(renderer='notebook')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In our exploratory data analysis, we answered the following questions: \n", "1. How has the pandemic affected the daily number of taxi transactions? \n", "2. Comparing 2019 and 2020 travel patterns, where were people coming from and heading to? \n", "3. In analyzing 2020 travel patterns, were people traveling to and/or from known COVID-19 hotspots? \n", "4. In taxi trips, were people practicing social distancing by limiting the number of people within taxi trips? \n", "5. How did payment behavior change due to the pandemic? \n", "6. Since New York has implemented a phased reopening, how did this affect mobility of New Yorkers? " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
RESULTS AND DISCUSSION
" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:38:44.167377Z", "start_time": "2020-11-30T10:27:30.150205Z" } }, "outputs": [], "source": [ "def agg_monthly(df, year):\n", " \"\"\"Return a pandas data frame aggregated monthly\"\"\"\n", " df = df.groupby('month')['trip'].sum().compute().reset_index()\n", " df['date'] = pd.to_datetime(year + '/' + \n", " df.month.astype(str) + '/' \n", " + '1')\n", " return df\n", "\n", "viz = (agg_monthly(df_agg_daily_2019, '2019')\n", " .append(agg_monthly(df_agg_daily_2020, '2020')))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We provide a preliminary overview on the impact of coronavirus in [Figure 3](#fig3)." ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:38:45.740524Z", "start_time": "2020-11-30T10:38:44.170927Z" } }, "outputs": [ { "data": { "text/markdown": [ "**Figure 3**. Total monthly taxi transactions from January 1, 2019 to June 30, 2020." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "viz = (agg_monthly(df_agg_daily_2019, '2019')\n", " .append(agg_monthly(df_agg_daily_2020, '2020')))\n", "\n", "\n", "fig, ax = plt.subplots(figsize=(18,5))\n", "\n", "ax.plot_date(viz['date'], viz['trip'], linestyle='-')\n", "\n", "ax.get_yaxis().set_major_formatter(\n", " matplotlib.ticker.FuncFormatter(lambda x,p: format(int(x/1000), ',')))\n", "\n", "\n", "myFmt = mdates.DateFormatter('%b-%Y')\n", "ax.xaxis.set_major_formatter(myFmt)\n", "\n", "ax.set_xlabel('Month of Transaction')\n", "ax.set_ylabel('Number of Trips (in thousands)')\n", "printmd(\"**Figure 3**. Total monthly taxi transactions \"\n", " \"from January 1, 2019 to June 30, 2020.\")\n", "plt.show();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Prior to the pandemic, monthly number of transactions would always range from $6$M to $8$M. January 2020, however, did not attain the monthly total of January 2019. Instead, it attained 2019’s lowest number of transactions which happened in July-August 2019. The January 2020 downtrend was sustained in February 2020, and it plummeted fast in March 2020. These record levels of low continue on until June 2020. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "With this trend in mind, we continue to dissect this behavior in the following questions." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### How has the pandemic affected the daily number of transactions?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To answer this question, we zoom in to 2020 daily patterns presented in [Figure 4](#fig4). " ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:38:46.379553Z", "start_time": "2020-11-30T10:38:45.742300Z" } }, "outputs": [], "source": [ "def agg_daily(df, year):\n", " \"\"\"Return a pandas dataframe aggregated daily\"\"\"\n", " df = df.groupby(['month','day'])['trip'].sum().compute().reset_index()\n", " df['date'] = pd.to_datetime(year + '/' + \n", " df.month.astype(str) + '/' \n", " + df.day.astype(str))\n", " return df\n", "\n", "viz = agg_daily(df_agg_daily_2020, '2020')" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:38:47.403251Z", "start_time": "2020-11-30T10:38:46.383419Z" } }, "outputs": [ { "data": { "text/markdown": [ "**Figure 4**. Total daily taxi transactions from January 1, 2019 to June 30, 2020." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "viz = agg_daily(df_agg_daily_2020, '2020')\n", "\n", "fig, ax = plt.subplots(figsize=(18,5))\n", "\n", "ax.plot_date(viz['date'], viz['trip'], '-')\n", "\n", "ax.get_yaxis().set_major_formatter(\n", " matplotlib.ticker.FuncFormatter(lambda x,p: format(int(x/1000), ',')))\n", "\n", "encircled_date = viz['date'][np.where(viz['date']=='2020-03-01')[0][0]]\n", "val_of_encircled_date = viz['trip'][np.where(viz['date']=='2020-03-01')[0][0]]\n", "ax.annotate(text=\"\"\"\n", " March 1, 2020\n", " First case of COVID\"\"\",\n", " xy=(encircled_date, 310_000))\n", "\n", "ax.plot_date(encircled_date, val_of_encircled_date,\n", " marker='o',\n", " markerfacecolor='red', markersize=20,\n", " alpha = 0.5)\n", "ax.axvline(x=encircled_date, linestyle='--', color='red')\n", "\n", "encircled_date = viz['date'][np.where(viz['date']=='2020-03-22')[0][0]]\n", "val_of_encircled_date = viz['trip'][np.where(viz['date']=='2020-03-22')[0][0]]\n", "ax.annotate(text=\"\"\"\n", " March 22, 2020\n", " New York State on PAUSE\"\"\",\n", " xy=(encircled_date, 310_000))\n", "\n", "ax.plot_date(encircled_date, val_of_encircled_date,\n", " marker='o',\n", " markerfacecolor='red', markersize=20,\n", " alpha = 0.5)\n", "ax.axvline(x=encircled_date, linestyle='--', color='red')\n", "\n", "myFmt = mdates.DateFormatter('%b-%d-%Y')\n", "ax.xaxis.set_major_formatter(myFmt)\n", "\n", "ax.set_xlabel('Day of Transaction')\n", "ax.set_ylabel('Number of Trips (in thousands)')\n", "ax.set_ylim(top=350_000)\n", "printmd(\"**Figure 4**. Total daily taxi transactions \"\n", " \"from January 1, 2019 to June 30, 2020.\")\n", "plt.show();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We take note that travel patterns persisted even during the first few days of March, as March 1, 2020 was the first recorded case in NYC. After March 1, the number of transactions even reached a peak. When Governor Andrew Cuomo issued stay-at-home orders on March 22 [[11]](#ref11), demand for New York taxis have plummeted. Upon doing further research, the New York State government never really did issue a travel ban for taxis. Instead, the quick drop in transactions is a demand-driven impact of the stay-at-home orders to the general New York population. The period between March 1-21, 2020 also proved to have been a critical time for the New York State government to act quickly and prevent the spread of the virus [[3]](#ref3). Despite the New York on PAUSE issuance [[11]](#ref11), it was too late; New York State government announced its record high number of cases of 9,000 on April 7, quickly surpassing China’s number of cases [[4]](#ref4).\n", "\n", "We also briefly examined what could explain the cyclical highs and lows in the daily number of transactions. To answer this, found in [Figure 5](#fig5) are calendar plots for the daily number of transactions in 2019 and 2020." ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:47:43.958229Z", "start_time": "2020-11-30T10:47:42.005240Z" } }, "outputs": [], "source": [ "viz = agg_daily(df_agg_daily_2019, '2019').append(\n", " agg_daily(df_agg_daily_2020, '2020'))\n", "\n", "viz['trip'] = np.log(viz['trip'])" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:47:45.568044Z", "start_time": "2020-11-30T10:47:44.009750Z" } }, "outputs": [ { "data": { "text/markdown": [ "**Figure 5**. 2019 and 2020 calendar plots for daily number of transactions." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "printmd(\"**Figure 5**. 2019 and 2020 calendar plots for \"\n", " \"daily number of transactions.\")\n", "viz = agg_daily(df_agg_daily_2019, '2019')\n", "fig, ax = calplot.calplot(viz[['date','trip']].set_index('date').squeeze(),\n", " cmap='YlGn',fillcolor='grey',\n", " linewidth=0.25, colorbar=False);\n", "\n", "cbar = fig.colorbar(ax[0].get_children()[1], fraction=0.08,\n", " ax=ax.ravel().tolist(), pad=0.1,\n", " orientation='horizontal');\n", "\n", "fig.set_size_inches(14,5)\n", "# plt.tight_layout()" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:38:51.912125Z", "start_time": "2020-11-30T10:38:50.957006Z" } }, "outputs": [ { "data": { "image/png": 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7N5ifm5t72lOzAQAAAADwJY9Pqw4ICHAVyEFBQWdcNjo6WrW1tW53tzYMQ9nZ2Y1emwwAAAAAQGMWLlyob7/9Vg6HQxUVFUpMTFRUVJTy8vK0atWqZluPx8Wx1Wp1Fcd1dXVnXd5ms6mmpkaFhT9dt+d0Onm8EwAAAADAY+np6ZKkVatW6ccff9QjjzyinJwczZw5s1nX4/Fh3ODgYNfr2tpa1dTUnLVNQkKCIiMjvesZAAAAAACnYRiG5s6dq5SUFM2ZM0fSiUJ6/fr1kqT169e7CmtPeHzkOCQkROXl5a7psrIyxcTEnLGNxWJRly5dtH//fh0/ftzjTgEAAAAAcCb79+/XSy+9pNjYWA0bNkylpaWm8jw+chwWFuY2XVRU5NkKAgKUlJSkkJCQpvUMAAAAAIDTSExMlN1uV0BAgGw2m8rKykzleVwct2/f3m26srLS48rcarUqKSlJgYEeH6gGAAAAAOC0rFar27RhGG6PFT71ccRn43FxHBQUpIiICIWGhrr+NOXZxcHBwUpKSlJwcLCCgoJcfwAAAAAAaA7t2rWTw+GQJG3ZsqVJbZt0KDcpKalJ4acKCwtT7969TWUAAAAAANCYm266SQ899JDWrVunfv36Nakt5zkDAAAAAFq9lJQU1+suXbq4PeO4/nWXLl20bt06r/I9Pq0aAAAAAIC2qtmOHNfW1qqurk51dXWSTlwcbbVauQkXAAAAAKDV87pyNQxDpaWlOnr0qI4fP37aO4EFBgYqPDxcUVFRioyMdLt7GAAAAAAArYHFMAyjqY1KS0uVl5fX5FtjBwYGqlOnToqMjPS4jcNh7llVAAAAAIDWy26P8HUXJHlxzXF+fr6ys7ObXBhLJ069zs7OVn5+fpPbAgAAAADQUpp0WnVhYaHrmVFmOBwOBQYGKjY21qPlf/76bV6v66OJf5Mkxf1mpNcZR+b980RG2jXeZyzeqLiHh3vdXpKOLPpEcbOGmct4eoPipl1lLmPZZ4qbnGwuIzPL1Gc58vQGSVLc9MHeZyzdbGqbSie26x9+/L2pjP/X6zFFxX5rKuNo4UWKtZn7pVNhQbxs9gKv2xc4bJIkm73YREaH/2QUmsiINdX+pwzvx+JEhq1ZMmJt5r5zCwvspvaNwoJ4SVKs7ZCJjI6SpBhbrtcZRQWdFWM74HX7ExlJ6mDbayqjuOACRcf+YCqjpLCPFi9+2lRGWtosUxlpabMkyXSGrz9HW8porm3SHBm+Hou2lMF2bZsZbJOGGW2Fx0eOa2trm/WIb35+vldHnwEAAAAAaG4eHzkuKSmR0+lsMD80NFRhYWEKCgqS1WpVQECADMOQYRiqq6tTTU2NKioqVFlZ6dbO6XSqpKRENpvN/KcAAAAAAMAEj4vjsjL3G2OFhYWpS5cuCgkJ8ah9VVWVcnJyVFFR4ZZJcQwAAAAAOJ2cnBz94he/UP/+/V3z+vbtq1//+teu6V/96ld64YUXTK3H4+K4urra9dpisSgpKalJzzAOCQlRYmKidu3apfobZFdVVTWhqwAAAAAAf9S9e3ctX778tO+bLYylJl5zXC84OLhJhXG9oKAgBQcHu6br6uqanAEAAAAA8G9ZWVm66667lJqaqp07dyo52dwNg6UmHDkOCAhwFbNmitqT2wYENPlJUgAAAAAAaNeuXVq3bp3bAVgzPC6OAwMDXYVtbW2tioqKFBMT06SVFRUVuR2B9uboMwAAAADAv+zbt0+pqamu6cGDB6tPnz7NVhhLTSiOw8PD3a4RzsvLU3l5uaKjoxUWFnbaQrempkaVlZUqKSnR0aNHG2QCAAAAAHAmp15znJWVpX//+9/Nug6Pi+PIyEgVFxe7zTt69Kir4LVYLLJarbJYLJLkepRT/c23GhMVFeVNnwEAAAAAaFYeF8cRERFq166dysvLG33fMAy3U6bPpl27dmrfvr3HywMAAAAA0FKadNFv586dtXfv3iYVwY0JCgpS586dTWUAAAAAANq+Ll26aNWqVW7zkpOT3e5QnZWVZXo9TbpddHBwsLp3767Q0FCvVxgaGqpu3bo164XTAAAAAACY0eTbRYeEhKhHjx4qKipSUVGR2026ztYuJiZGMTExruuSAQAAAABoDbx6lpLFYlFsbKxiY2NVUVGhiooKVVZWqra2Vk6nU9KJZxgHBgYqNDRUYWFhCgsLa9aOAwAAAADQXCzGmW4n3Qo4HGW+7gIAAAAAoIXY7RG+7oIkL48cn2sjVkzyuu3Hk1ZIkpJ+N8brjAO/XitJuvqVW73O2HTHSsXPHel1e0nK/+0/1XPRf5nK2P3wh+o6f7SpjINz1uni5240lbHtvvfU96kbvG7//UMfSJLiHh3hdcaRBR+r3x+974Mk/fvBD7SjavnZFzyDgSGpirHlmMooKugim7347AueQYGjg+z2Uq/bOxyRktQqMmz2Eq/bS1KBI7oVZZjfrmb6UeCIliTZ7AUmMmySpFibw+uMwgK7Ym2HvW5/IiNBsbZDJjM6NsvP6+LFT5vKSEubZSojLW2WJJnO8PXnaEsZzbVNmiPD12PRljLYrm0zg23SMKOtMFUc1z/L+OTnG59NRUWF69Rr6cQjnQAAAAAA8CWviuPi4mIVFRWpoqJC0olrkENDQxUTE6Po6OgzFsp5eXmudpLUv39/b7oAAAAAAECzaVJxbBiGDh48qNLS0gbzKyoqlJubq6KiIiUmJiooKKhZOwoAAAAAQEtp0nOODx8+3KAwPlVFRYX27t2r6upqUx0DAAAAAECSMjMzNX78eKWmpurWW2/V5s2bT7vs2rVrvVqHx8VxdXW1CgsLPVq2pqZG+/btU01NjVedAgAAAABAknJycvTmm28qMzNTy5cv11NPPaXFixc3umxNTY2WLVvm1Xo8Lo5LSkqaFFxTU6P9+/ertra2qX0CAAAAAECSdOzYMVVVVbkOvnbr1k0ZGRnavHmzJkyYoClTpigtLU3V1dX6/e9/rx9++EGPP/54k9fjcXFcXl7eYF5gYKBiYmJks9kavet0VVWVDhw44HZ3agAAAAAAPNW3b18NHDhQI0aMUHp6uj788EPV1tbq6NGjeuqpp5SRkaH27dtr06ZNmj59urp37+5VcezxDbmqqqrcpsPCwtStWzdZrVbXvPLych08eNDtaHFFRYUOHjyoxMREjx/3BAAAAABAvUWLFmnPnj3auHGjlixZohUrVuiee+7R7NmzVVdXp4MHD+rKK680tQ6PjxyfevS3U6dOboWxdOKZxd27d1dgoHvNXVZWpkOHDpnoJgAAAADAHxmGoaqqKvXo0UPTpk3TW2+9pfz8fD322GP6zW9+o4yMDI0YMcL0ejwujg3DcL22Wq0KCwtrdLmQkBB169ZNAQHu0UVFRXI4HF52EwAAAADgj1auXKk5c+a4atKysjI5nU6Vl5erY8eOKi0tVVZWlmpqahQQEOD1jaE9Pq3aYrG4OnPqkeFThYaGKjExUQcOHHArqvPz8xsUzQAAAAAAnE5KSor27t2rcePGKTw8XDU1NZo9e7a2b9+uSZMmqVu3bpoxY4aee+45XXvttaqrq9PMmTP17LPPNmk9HhfHQUFBruuOPbkDdfv27dW5c2fl5OS4zefmXAAAAAAAT1mtVj3yyCMN5g8bNkz333+/a3rs2LGSpA8//NCr9Xh8GDc4ONj1uq6uTpWVlWdtEx0drYSEBK86BgAAAADAueJxcRwaGuo2XVpa6lE7m82m2NjYpvUKAAAAAIBzyOPi+NQbcBUVFbldT3wmCQkJioyMbFrPAAAAAAA4RyyGhxVuXV2dvv/+e7eCOCEhQTabzaMVOZ1O7d+/X8ePH3eb379//zO2czjKPMoHAAAAAJx/7PYIX3dBUhNuyGW1WhUfH+92W+ym3FwrICBASUlJOnz4sMdHnOuNW5/WpOVP9tZ1iyVJwzMneZ3xyeQVkqT/+vs0rzM+vHmZhr423uv2kvTp1Dd11UtjTWV8duc7GvnGZFMZ/5yQqXGf/MpUxlvDX9Dot1O9br/uluWSZDqjOT5HRdgaUxlhFdfLZi8wlVHgsMlu9+xSh9NxOCJlt3v/yyiH48SXWmvIMNP+p4zmGM/WkWGzl3jdvsARLUmy2YtNZHT4T0ahiYzYZvk5ibXlm8ooLIhXrO2QyYyOWrz4aVMZaWmzTGWkpc2SJNMZvv4cbSmjubZJc2T4eizaUgbbtW1msE0aZrQVHhfHkjw+Snw6VqtVnTt3NpUBAAAAAEBz46HDAAAAAAC/R3EMAAAAAPB7TTqtGgAAAACAcy0zM1PvvvuuQkJCVFFRoVmzZmnw4MHNug6KYwAAAABAq5WTk6M333xTK1euVFBQkPbv36/Zs2dTHAMAAAAA/MexY8dUVVWlmpoaBQUFqVu3bsrIyFBqaqrmzJmj3r17KyMjQ8XFxbriiiuUmZkpi8WivXv3avTo0br33ns9Wg/FMQAAAACg1erbt68GDhyoESNGaOjQobr22ms1atSo0y6/Y8cOrVmzRk6nU8OHD6c4BgAAAAC0DYsWLdKePXu0ceNGLVmyRCtWrJBhGI0ue+GFFyosLKzJ6+Bu1QAAAACAVsswDFVVValHjx6aNm2a3nrrLeXn58tisbiWqa2tdb0ODPTuGDDFMQAAAACg1Vq5cqXmzJnjOlJcVlYmp9Op4OBgORwOSdLWrVtNr4fTqgEAAAAArVZKSor27t2rcePGKTw8XDU1NZo9e7Ykad68eUpKSlJiYqLp9VAcAwAAAABaLavVqkceeaTR94YNG9ZgXnJysut1VlaWx+vhtGoAAAAAgN+jOAYAAAAA+D2KYwAAAACA37MYp3s4FAAAAAAAfoIjxwAAAAAAv0dxDAAAAADwexTHAAAAAAC/R3EMAAAAAPB7FMcAAAAAAL9HcQwAAAAA8HsUxwAAAAAAv0dx3AJmzJihIUOGaP369b7uis/k5OToZz/7mVJTU11/fve73zW6bHp6epsfq5ycHPXp00fbtm1zm5+SkqL09HTfdKoNeP/993XRRRepqKjI113xGfatlsN3eUNnG5Phw4ervLz8HPfq3OE7p3llZmZq/PjxSk1N1a233qrNmzf7uks+l52drbvvvlu33HKLxo4dq/nz56uysrLRZfPy8rRjx45z3MOWl5OTo379+un77793zVu1apVWrVrlw16dv07+P/mUKVN0xx13NPg/A35CcdwClixZomuuucbX3fC57t27a/ny5a4/v/71r33dJZ/q2rWrVq9e7Zo+cOCAysrKfNij89/q1avVtWtXrVu3ztdd8Sn2rZbBd3lD/j4mfOc0n5ycHL355pvKzMzU8uXL9dRTT2nx4sW+7pZPOZ1O3Xfffbr99tv19ttv65133lHnzp01Z86cRpf//PPP22RxLEk9e/bUH//4R193o82o/z95RkaGHn/8cc2ePVsHDx70dbdaJYrjFuR0OnXXXXcpNTVV48aNc32BjRw5UkuWLNHkyZM1btw4HTt2zMc9PXeeeeYZTZ48WRMnTnT7z/z69et1991368Ybb9S3337rwx62nEGDBmnz5s2qq6uTJH3wwQcaMmSIpBNHI8aPH6+JEye6/hFctWqVHnjgAd12223Kz8/3Wb9bq5KSEu3YsUPp6en68MMPJUmpqal68sknlZqaqvHjxysvL09ZWVmun8OdO3f6uNcto6n71rhx45SdnS1JOnz4sFJSUnzT8fNEbm6unnzySUlSeXm5hg8fLsm/v8tPNyZt2em+c3bt2iVJysjI0HPPPaeamho98MADGj9+vP70pz/p2muv9WW3W61jx46pqqpKNTU1kqRu3bopIyNDu3fv1tSpU3X77bcrLS1NpaWlysnJ0S233KKHHnpIt9xyix5//HHfdr6FbNq0Sd26ddNVV13lmvfLX/5SO3bsUG5urlJTU3XbbbfpoYceUkFBgZ5//nm99tpr+vjjj33Y65Zx0UUXKTw8XJ999pnb/FdffVUTJkzQhAkT9NJLL6m4uFijR492vb9q1SotXLjwXHf3vJKYmKjp06fr5ZdfVmZmpiZOnKjbbrtNr7zyiiSptLRUd955p2677TbdddddbfpsoMZQHLeg3NxcjRs3TsuXL9esWbP08ssvS5Lq6up0wQUXKDMzU126dNHnn3/u456eG1999ZVyc3OVmZmp1157TS+88ILbqUIvvvii/vd//1cvvviiD3vZcoKCgjRo0CBlZWVJkj7++GMNHTpUknT8+HEtWbJEr7/+uvbu3asffvhBknTo0CFlZmYqPj7eZ/1urdasWaPrrrtO11xzjfbt2+f6BUKHDh20fPly/eIXv9CyZcskSbt27dLSpUvVv39/H/a45TR137rppptc/7n/+OOPdcMNN/is7+czf/0u91en+8451caNG1VVVaU333xTgwYN0pEjR85xT88Pffv21cCBAzVixAjXLxxqa2s1f/58zZs3T6+++qqGDBmizMxMSdIPP/ygBx98UCtXrtQ333zjdsptW7F3715deOGFbvMsFot69eql9PR0TZs2TX/7298UFxen3NxcjR07VlOnTtWIESN81OOWNWvWLP3pT3+SYRiSJMMw9M477ygzM1OZmZlas2aNysrKFB8frx9//FGS9Mknn7gVy2hcv3799Omnn2rt2rVasWKFMjMz9Y9//EN5eXlaunSprr76av3tb3/TVVdd1eAXFG1doK870JZ16tRJ69at09KlS1VdXa3w8HDXe5dddpkkKSEhoc2e/rhv3z6lpqa6ppOTk7V9+3bXPKfTKYfDIUm68sorJUkDBw5s06fRjBkzRqtXr5bdbld8fLxrn4iKilJaWpokac+ePSopKZEkDRgwQBaLxVfdbdVWr16te+65R1arVWPGjNGaNWskyfUb94svvlj/+te/JEl9+vRRcHCwz/p6LjRl37rhhhs0ffp03X333dqwYYPmz5/vy66f1/zhuxwnnO4751R79uzRpZdeKkkaOnSoAgP5r9bpLFq0SHv27NHGjRu1ZMkSrVixQjt37nSd5VJdXa0BAwZIOnFkuWPHjpJOnC2zd+9e9e3b12d9byn1ZwCdzDAMffnll3r22WclSQ8//LAkuf6Na6uSkpJ04YUXun6ZW1paqkGDBrl+pgYOHKjvv/9eo0aN0vr165WYmKjdu3fr4osv9mGvzw81NTUKDw/XgQMHNHXqVEknzgLKzc3Vd999p/vvv1+SNG3aNB/20jf4xm5GpaWlCg0NVXBwsJxOp77//nvFx8frD3/4g7755hstWrTItazVanW9rv+NWFtTf31DvWXLlunWW2/VXXfddcZ2bbkYHDx4sObNmye73e76zWZNTY3mzZund999V3a73W18goKCfNXVVu3QoUPasWOHFi5cKIvFosrKSkVERCgsLMztN8z1+1JbL4ylpu1bHTp0UEJCgnbs2CGn06mEhARfdr3VOfW7vF27dq73amtr3Zb1h+9yqWlj0had6TunXv04GIahgIATJ+a15X/PzDIMQ9XV1erRo4d69Oih1NRUXX/99Tp+/Lhee+01t7HLycmR0+l0a9sWx7ZHjx5asWKF2zzDMLR792716tWrTX/HnM4999yj6dOna/LkybJYLG5jUP+zNnLkSD3wwAPq1auXrr766ja5bzS3nTt3qqqqSsOGDdO8efPc3lu6dKnbz5u/4bTqZvTb3/5WH330kQzD0N69e7Vz504lJiZKkj766CPXdTX+auDAgVq/fr2cTqeqqqrcjlZt3bpVkrRt2zZdcMEFvupiiwsKCtLll1+ut99+23WNXnl5uaxWq+x2uw4dOqSdO3f6/b5yNqtXr9bkyZP13nvv6d1339XatWt19OhRZWdna8uWLZJO7Es9evTwcU/PnabuWzfddJPmzZunMWPG+LLbrdKp3+XFxcWuU2Pr9y9/4+9jcrrvnHbt2rnOgKr/dywxMdF1f4NNmzY1eiQQ0sqVKzVnzhxXsVNWVian06nBgwe7joh+8MEHrlM6s7OzdeTIETmdTm3fvl09e/b0Wd9bypAhQ5STk6NPP/3UNW/ZsmW67LLL1L9/f9elG3/+85+1efNmWSwWVVdX+6q754TNZtPPf/5zvf7664qMjNS2bdtUW1ur2tpabd++Xf369XNderZ69Wr+TfNAdna2li1bpoyMDGVlZamiokKGYeiJJ55QZWWl2772+uuv65133vFxj88tiuNmdN999+nVV1/VpEmTNHToUKWlpemvf/2r7rjjDg0cOFAOh0Nvv/22r7vpM5dccomSk5M1YcIETZ48WRdddJHrPcMwdPfdd+vZZ591nQLaVo0ZM0YXXnihIiIiJEnR0dEaMmSIbrnlFj3//POaMWOGFixY4BdHY7z1wQcfuN1EymKx6Oabb1ZBQYFyc3M1ffp0rV692u9OB/J036qpqdF1112n7OxsjRo1yse9bn1O/S4fP3686zKRvXv3+uVRCX8fk9N95wwaNEjz5s3TnXfeqbi4OEnSddddp2PHjmnSpEn66quvFB0d7aNet24pKSmKjY3VuHHjNHXqVP3qV7/S7NmzNXv2bP3lL3/RlClTtGrVKvXr10/SibPRnnnmGU2YMEGXXHKJevXq5eNP0PwCAgK0dOlSvfHGG0pJSdHYsWOVl5enuXPnaubMmXrzzTc1ZcoU5eTkKDk5WT/72c/0yiuv6L333vN111vUHXfcocOHD0uSJkyYoClTprhuhNi5c2dJ0ogRI/Tll1/qkksu8WVXW6367+tJkybpscce04IFC9SpUydNnTpVkydP1vjx42W32xUaGqrbb79dX3/9tVJTU7VhwwaNHDnS190/pyyGP56jAaBNSk1N1Zw5c9S7d29fd6XV+/zzz/XOO++47jgMoHkUFxfriy++0OjRo5Wfn6/bb79da9eu9XW3zms5OTmaOXMmz7kF0OK45hgA/Myzzz6rTZs26bnnnvN1V4A2p3379lqzZo3rur1HH33U110CAHiII8cAAAAAAL/HNccAAAAAAL9HcQwAAAAA8HsUxwAAAAAAv0dxDAAAAADwexTHAAAAAAC/R3EMAAAAAPB7FMcAAAAAAL9HcQwAAAAA8HsUxwAAAAAAvxfo6w4AOJ/kSTJkyPmfaeM/f/80bRgN59Uv13i7+vdOmufKaKyd85T3Gs6rnzZknJR1Uh8b6bfrHeOnpSTJMH5a3tUrw2iQZJzU5wYZrqzG5jXMOHl9nsxTo7k/9cFpNOz/qfOcRsMxOHmes5FxqR9BV38amec8tT+G0XDeyX2sX3cj4+M8aT2uLVe/nsbW7fr7p36fPO/Uz9ZYvvPUz2a49+1M8+rb/7TuM88707qdp3ymkz+j85SsxpZ3X+epWQ3nnWl5p2E0/JwyGhn3xpY/aTuf8lkM50nb/KTPUv/eqfvZycuc3PanjPq27lkyGslyNtyPG1/3Sets0O+T3pMaWd69Hz9tr5N/phuZd+pYGA3nOU+zXMN1n76PzsbG3bXQyY1P7uSpIU1cvrH3nE1cvtEMz9dt/OM7AUA9jhwDAAAAAPwexTEAAAAAwO9RHAMAAAAA/B7FMQAAAADA71EcAwAAAAD8HsUxAAAAAMDvURwDAAAAAPwexTEAAAAAwO9RHAMAAAAA/B7FMQAAAADA71EcAwAAAAD8HsUxAAAAAMDvURwDAAAAAPwexTEAAAAAwO9RHAMAAAAA/B7FMQAAAADA71EcAwAAAAD8HsUxAAAAAMDvURwDAAAAAPwexTEAAAAAwO9RHAMAAAAA/J7FMAzD150AAAAAAMCXOHIMAAAAAPB7FMcAAAAAAL9HcQwAAAAA8HsUxwAAAAAAv0dxDAAAAADwexTHAAAAAAC/F+jrDgDA+W7nzp1KS0tTUlKSJKl3796aMWOGHn74YdXV1clut+sPf/iDgoOD9d577+nVV19VQECAJkyYoFtvvVU1NTVKT09XXl6erFarFixYoK5du+r777/X448/Lknq06ePfvvb3/rwU/rWrl27lJaWpmnTpmnKlCk6dOhQi43vkiVLtHbtWlksFt17770aOnSoDz/5uXXqOM+fP19ff/212rVrJ0maPn26hg0bxjibtGjRIm3ZskW1tbW66667NGDAAPZnAGgNDACAKVlZWcYTTzzhNi89Pd348MMPDcMwjCeffNLIzMw0ysvLjVGjRhmlpaVGRUWFMXr0aKO4uNhYtWqV8fjjjxuGYRgbNmww7r//fsMwDGPKlCnG9u3bDcMwjJkzZxobNmw4dx+qFSkvLzemTJlizJ4921i+fLlhGC03vtnZ2cbYsWONqqoqo7Cw0Bg5cqRRW1t77j+0D5xunL/77rsGyzHO3vvss8+MGTNmGIZhGEVFRcbQoUPZnwGgleC0agAwqby8vMG8rKwsjRgxQpI0YsQIffbZZ9q+fbsGDBigiIgIhYaG6rLLLtPWrVv12WefaeTIkZKkq6++Wlu2bFF1dbVyc3M1cOBAtwx/FBwcrJdffllxcXGueS01vllZWbrmmmsUHBysmJgYde7cWbt37z73H9oHGhvnxvZtxtmcyy+/XH/+858lSVFRUaqoqGB/BoBWguIYAEw6fvy4tmzZohkzZmjy5Mn6/PPPVVFRoeDgYEmS3W6Xw+FQQUGBYmJiXO1sNluD+VarVQEBASooKFBkZKRr2foMfxQYGKjQ0FC3eS01vqfL8AeNjXN5ebmef/55paam6qGHHlJJSQnjbJLValV4eLgk6a233tK1117L/gwArQTXHAOASX379tU999yjESNGaN++ffrlL3+p2tpa1/uGYbj9ffJ8i8XS6PzG5uEnFovF9bo5x/d0Gf5q4sSJ6tmzp7p3764XXnhBzz33nAYNGuS2DOPsnY8++kgrV67UK6+8otGjR7vmsz8DgO9w5BgATOrRo4frlMju3bvLZrOptLRUlZWVkqT8/HzFxcUpPj5eBQUFrnZHjhyR3W5XfHy862hOTU2NDMNQXFycSkpKXMvWZ+CEsLCwFhnfUzPy8/Nlt9vPzYdqhUaOHKnu3bu7Xv/www+MczPYuHGjXnzxRb388suKiIhgfwaAVoLiGABMWrlypV577TVJksPhUGFhoVJSUrRu3TpJ0j/+8Q9dc801GjRokL755huVlpaqvLxcW7du1WWXXaYhQ4Zo7dq1kqT169crOTlZQUFBuuCCC/TVV1+5ZeCEwYMHt8j4XnnlldqwYYOqq6uVn5+vI0eOqGfPnj77nL529913Ky8vT9KJ67x79erFOJtUVlamRYsW6S9/+Yuio6MlsT8DQGthMThXDwBMOXr0qB566CEdP35c1dXVuvfee9WvXz898sgjqqqqUqdOnbRgwQIFBQVp7dq1Wrp0qSwWi6ZMmaIbb7xRdXV1mj17tvbv36/g4GAtXLhQHTt21O7du/Wb3/xGTqdTgwYN0qOPPurrj+oTO3fu1JNPPqnc3FwFBgYqPj5eTz31lNLT01tkfJcvX673339fFotFDzzwgK666iofj8C50dg4T5o0SUuXLlV4eLjCwsK0YMECxcbGMs4mvPHGG3ruuedcR+QlaeHChZo9ezb7MwD4GMUxAAAAAMDvcVo1AAAAAMDvURwDAAAAAPwexTEAAAAAwO9RHAMAAAAA/B7FMQAAAADA71EcAwAAAAD8HsUxAAAAAMDvURwDAAAAAPze/wfR2zVnskDC7gAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "viz = agg_daily(df_agg_daily_2020, '2020')\n", "fig, ax = calplot.calplot(viz[['date','trip']].set_index('date').squeeze(),\n", " cmap='YlGn',fillcolor='grey',\n", " linewidth=0.25, colorbar=False);\n", "\n", "cbar = fig.colorbar(ax[0].get_children()[1], fraction=0.08,\n", " ax=ax.ravel().tolist(), pad=0.1, orientation='horizontal');\n", "\n", "fig.set_size_inches(14,5)\n", "# plt.tight_layout()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We first examine the 2019 graph. We can infer that bulk of taxi transactions happened during the middle of week, as the darkest shades of greens are found in these rows. In contrast, the lows we found in [Figure 2](#fig2) can be found on Sundays and Mondays, or at the end and at the start of the week. Light green areas are mostly found on these rows.\n", "\n", "The scale drastically changed in 2020. The lightest shade of green starts in the month of March." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### How did payment behavior change due to the pandemic?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The Philippines has seen a spike in cashless transactions since the pandemic hit [[12]](#ref12), and we were expecting the same boom in the United States. Apparently, this was not the case. Despite the boom of cashless transactions to minimize contact [[13]](#ref13), the New York City has issued a bill to *ban* cashless transactions in order “to blunt the impact of advancing technology on those who are unable to use it because of financial circumstances, unwilling to for philosophical reasons or vulnerable to its darker aspects” [[14]](#ref14), [[15]](#ref15).\n", "\n", "Found in [Figure 6](#fig6) is the monthly proportion of transactions that are paid in cash and cashless." ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:47:33.493911Z", "start_time": "2020-11-30T10:47:31.500614Z" } }, "outputs": [], "source": [ "def agg_monthly_payment_type(df, year):\n", " \"\"\"Returns a pandas data frame aggregated monthly by payment_type\"\"\"\n", " df = df.groupby(['month', 'payment_type'])['trip'].sum().compute().reset_index()\n", " df['date'] = pd.to_datetime(year + '/' + \n", " df.month.astype(str) + '/' \n", " + '1')\n", " return df\n", "\n", "viz = (agg_monthly_payment_type(df_agg_daily_2019, '2019')\n", " .append(agg_monthly_payment_type(df_agg_daily_2020, '2020')))\n", "\n", "viz['payment_type'] = viz['payment_type'].apply(lambda x: 'Cash' if x==2\n", " else 'Cashless')" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:38:55.847697Z", "start_time": "2020-11-30T10:38:55.827842Z" } }, "outputs": [], "source": [ "viz = pd.pivot_table(viz[['trip', 'date', 'payment_type']],\n", " columns='payment_type', values='trip',\n", " aggfunc=sum, index='date')\n", "data_perc = viz.divide(viz.sum(axis=1), axis=0)*100" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:38:56.060114Z", "start_time": "2020-11-30T10:38:55.849574Z" } }, "outputs": [ { "data": { "text/markdown": [ "**Figure 6**. Proportion of cash and cashless transactions from January 1, 2019 to June 30, 2020." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(18,5))\n", "ax.stackplot(data_perc.index,\n", " [data_perc['Cashless'], data_perc['Cash']],\n", " labels=['Cash', 'Cashless'],\n", " alpha=0.85)\n", "\n", "myFmt = mdates.DateFormatter('%b-%Y')\n", "ax.xaxis.set_major_formatter(myFmt)\n", "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n", "ax.set_xlabel('Month of Transaction')\n", "ax.set_ylabel('Percent of Total Transaction')\n", "legend = ax.legend(frameon = 1, fontsize='x-large')\n", "frame = legend.get_frame()\n", "frame.set_color('white')\n", "frame.set_edgecolor('black')\n", "printmd(\"**Figure 6**. Proportion of cash and cashless \"\n", " \"transactions from January 1, 2019 to June 30, 2020.\")\n", "plt.show();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The pandemic has prompted the use of cashless payment methods by the time the pandemic hit, but as the economy reopened, the proportion of cash transactions has steadily increased. The effect of the bill is evident, as cash still reigns supreme in New York. It seems that the term “financial inclusion” in the time of pandemic is defined differently between the US and the Philippines." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### When people did take the taxi, were people maintaining social distancing?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Gov. Andrew Cuomo has enacted the 10-point New York State on PAUSE to “assure uniform safety for everyone” [[11]](#ref11). In particular, the following guidelines greatly drove down taxi demand.\n", "\n", "> “4. When in public individuals must practice social distancing of at least six feet from others;”\n", "\n", "> “7. Individuals should limit use of public transportation to when absolutely necessary and should limit potential exposure by spacing out at least six feet from other riders;”\n", "\n", "However, we asked if these guidelines were still followed in taxi trips. [Figure 7](#fig7) shows the proportion of transactions with single, couple, and group passengers." ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:38:58.059066Z", "start_time": "2020-11-30T10:38:56.061938Z" } }, "outputs": [], "source": [ "def agg_monthly_passenger_count(df, year):\n", " \"\"\"Returns a pandas data frame aggregated monthly by passenger_type\"\"\"\n", " df = df.groupby(['month',\n", " 'passenger_count'])['trip'].sum().compute().reset_index()\n", " df['date'] = pd.to_datetime(year + '/' + \n", " df.month.astype(str) + '/' \n", " + '1')\n", " return df\n", "\n", "viz = (agg_monthly_passenger_count(df_agg_daily_2019, '2019')\n", " .append(agg_monthly_passenger_count(df_agg_daily_2020, '2020')))\n", "\n", "viz['passenger_count'] = viz['passenger_count'].replace({1:'Single',\n", " 2:'Couple',\n", " 3:'Group', 4:'Group',\n", " 5:'Group', 6:'Group',\n", " 7:'Group', 8:'Group',\n", " 9:'Group'})" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:38:58.081265Z", "start_time": "2020-11-30T10:38:58.061969Z" } }, "outputs": [], "source": [ "viz = pd.pivot_table(viz[['trip', 'date', 'passenger_count']],\n", " columns='passenger_count', values='trip',\n", " aggfunc=sum, index='date')\n", "\n", "data_perc = viz.divide(viz.sum(axis=1), axis=0)*100" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:38:58.290669Z", "start_time": "2020-11-30T10:38:58.083121Z" } }, "outputs": [ { "data": { "text/markdown": [ "**Figure 7**. Proportion of passenger count from January 1, 2019 to June 30, 2020." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(18,5))\n", "ax.stackplot(data_perc.index,\n", " [data_perc['Single'], data_perc['Couple'], data_perc['Group']],\n", " labels=['Single', 'Couple', 'Group'],\n", " alpha=0.85)\n", "\n", "myFmt = mdates.DateFormatter('%b-%Y')\n", "ax.xaxis.set_major_formatter(myFmt)\n", "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n", "ax.set_xlabel('Month of Transaction')\n", "ax.set_ylabel('Percent of Total Transaction')\n", "legend = ax.legend(frameon = 1, loc='upper left', fontsize='x-large')\n", "frame = legend.get_frame()\n", "frame.set_color('white')\n", "frame.set_edgecolor('black')\n", "printmd(\"**Figure 7**. Proportion of passenger count \"\n", " \"from January 1, 2019 to June 30, 2020.\")\n", "plt.show();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Single passengers occupied the largest proportion of all taxi transactions, but this increased further with lockdown measures in place. Proportion of single passengers slightly dropped with the phased reopening of the NYC economy. Couple passengers decreased in proportion, but this gradually increased as lockdown measures eased in June 2020. Group passengers consistently took the smallest share of all transactions, but this shrunk further because of the pandemic. These observations, plus the fact that ridership has significantly dropped, all indicate that social distancing in taxi rides were followed to the fullest extent." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Comparing 2019 and 2020 travel patterns, where were people coming from and heading to?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To answer this question, we then proceeded to map the pickup and drop-off zones of taxi rides. These are presented in Figures [8](#fig8) and [9](#fig9)." ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:39:11.098592Z", "start_time": "2020-11-30T10:38:58.292318Z" } }, "outputs": [], "source": [ "def agg_monthly_pu_do(df, year, extract='PULocationID'):\n", " \"\"\"Return pick-up/drop off location \"\"\"\n", " df = df.groupby(['month', 'day',\n", " extract])['trip'].sum().compute().reset_index()\n", " df['date'] = pd.to_datetime(year + '/' + \n", " df.month.astype(str) + '/' \n", " + df.day.astype(str))\n", " return df\n", "\n", "viz = (agg_monthly_pu_do(df_agg_daily_2019, '2019')\n", " .append(agg_monthly_pu_do(df_agg_daily_2020, '2020')))" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:39:11.218636Z", "start_time": "2020-11-30T10:39:11.102467Z" } }, "outputs": [], "source": [ "# Open shape file\n", "with zipfile.ZipFile('NYC Taxi Zones.zip', 'r') as zip_ref:\n", " zip_ref.extractall('./shp')\n", " \n", "fp = './shp/geo_export_3b78f57d-632d-46ba-9dff-906b6c40ea39.shp'\n", "df_shp_zones = gpd.read_file(fp)[['location_i', 'zone', 'geometry']]" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:39:11.950426Z", "start_time": "2020-11-30T10:39:11.221418Z" } }, "outputs": [], "source": [ "viz = pd.merge(viz, df_shp_zones,\n", " left_on='PULocationID', right_on='location_i', how='left')\n", "viz['trip'] = np.log(viz['trip'])\n", "max_colour = max(viz['trip'])\n", "min_colour = min(viz['trip'])\n", "cmap = cm.linear.YlOrRd_09.scale(min_colour, max_colour)\n", "viz['colour'] = viz['trip'].map(cmap)\n", "\n", "viz['date_sec'] = viz['date'].astype(int) / 10**9\n", "viz['date_sec'] = viz['date_sec'].astype(int).astype(str)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:39:27.836229Z", "start_time": "2020-11-30T10:39:11.952266Z" } }, "outputs": [], "source": [ "# Prepare data for TimeSlider Choropleth\n", "\n", "zone_list = viz['zone'].unique().tolist()\n", "zone_idx = range(len(zone_list))\n", "\n", "style_dict = {}\n", "for i in zone_idx:\n", " zone = zone_list[i]\n", " result = viz[viz['zone'] == zone]\n", " inner_dict = {}\n", " for _, r in result.iterrows():\n", " inner_dict[r['date_sec']] = {'color': r['colour'], 'opacity': 0.7}\n", " style_dict[str(i)] = inner_dict\n", " \n", " \n", "zones_df = viz[['geometry']]\n", "zones_gdf = gpd.GeoDataFrame(zones_df)\n", "zones_gdf = zones_gdf.drop_duplicates().reset_index()" ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:39:29.920374Z", "start_time": "2020-11-30T10:39:27.838568Z" }, "scrolled": false }, "outputs": [ { "data": { "text/markdown": [ "**Figure 8**. Daily number of transactions per zone by pickup from January 1, 2019 to June 30, 2020." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Make this Notebook Trusted to load map: File -> Trust Notebook
" ], "text/plain": [ "" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "main = folium.Map([40.74, -73.96], width='100%', height='80%',\n", " tiles='cartodbpositron', zoom_start=10)\n", "\n", "\n", "TimeSliderChoropleth(data=zones_gdf.to_json(),\n", " styledict=style_dict).add_to(main)\n", "\n", "cmap.add_to(main)\n", "cmap.caption = \"Log of Number of Transaction\"\n", "\n", "printmd(\"**Figure 8**. Daily number of transactions per zone\"\n", " \" by pickup from January 1, 2019 to June 30, 2020.\")\n", "main" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:39:37.346578Z", "start_time": "2020-11-30T10:39:29.922220Z" } }, "outputs": [], "source": [ "viz = (agg_monthly_pu_do(df_agg_daily_2019, '2019', 'DOLocationID')\n", " .append(agg_monthly_pu_do(df_agg_daily_2020, '2020', 'DOLocationID')))" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:39:38.215658Z", "start_time": "2020-11-30T10:39:37.349172Z" } }, "outputs": [], "source": [ "viz = pd.merge(viz, df_shp_zones,\n", " left_on='DOLocationID', right_on='location_i', how='left')\n", "viz['trip'] = np.log(viz['trip'])\n", "max_colour = max(viz['trip'])\n", "min_colour = min(viz['trip'])\n", "cmap = cm.linear.YlOrRd_09.scale(min_colour, max_colour)\n", "viz['colour'] = viz['trip'].map(cmap)\n", "\n", "viz['date_sec'] = viz['date'].astype(int) / 10**9\n", "viz['date_sec'] = viz['date_sec'].astype(int).astype(str)" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:39:57.180108Z", "start_time": "2020-11-30T10:39:38.217252Z" } }, "outputs": [], "source": [ "# Prepare data for TimeSlider Choropleth\n", "\n", "zone_list = viz['zone'].unique().tolist()\n", "zone_idx = range(len(zone_list))\n", "\n", "style_dict = {}\n", "for i in zone_idx:\n", " zone = zone_list[i]\n", " result = viz[viz['zone'] == zone]\n", " inner_dict = {}\n", " for _, r in result.iterrows():\n", " inner_dict[r['date_sec']] = {'color': r['colour'], 'opacity': 0.7}\n", " style_dict[str(i)] = inner_dict\n", " \n", " \n", "zones_df = viz[['geometry']]\n", "zones_gdf = gpd.GeoDataFrame(zones_df)\n", "zones_gdf = zones_gdf.drop_duplicates().reset_index()" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:39:59.398276Z", "start_time": "2020-11-30T10:39:57.182502Z" } }, "outputs": [ { "data": { "text/markdown": [ "**Figure 9**. Daily number of transactions per zone by drop-off from January 1, 2019 to June 30, 2020." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
Make this Notebook Trusted to load map: File -> Trust Notebook
" ], "text/plain": [ "" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "main = folium.Map([40.74, -73.96], width='100%', height='80%',\n", " tiles='cartodbpositron', zoom_start=10)\n", "\n", "\n", "TimeSliderChoropleth(data=zones_gdf.to_json(),\n", " styledict=style_dict).add_to(main)\n", "\n", "cmap.add_to(main)\n", "cmap.caption = \"Log of Number of Transactions\"\n", "\n", "printmd(\"**Figure 9**. Daily number of transactions per zone\"\n", " \" by drop-off from January 1, 2019 to June 30, 2020.\")\n", "main" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Based on Figures [8](#fig8) and [9](#fig9), traffic to and from taxi zones significantly decreased. Heavy traffic zones, indicated in maroon, remained as heavy traffic zones until March 21, 2020. There are hardly any areas that had a shift from being a light traffic zone to a heavy traffic zone. In general, we can say that wherever the majority of people came from and headed to, they still came from and headed to these areas as the pandemic continued. \n", "\n", "When we compared this to [Figure 2](#fig2), we noticed that there were select zones that point to an overlap in taxi hotspots and COVID-19 hotspots, particularly zones in the West Bronx, Queens, and Brooklyn. Upon doing further research, we found that these boroughs experienced the worst rates of coronavirus cases, hospitalization, and deaths in the country [[16]](#ref16), [[17]](#ref17). " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### When did people travel?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We also wanted to know if the lockdown measures greatly impeded people from traveling or if it still provided leeway. With strict lockdown measures, would people not be travelling *at all*? To answer this, we provide a clock plot in [Figure 10](#fig10) that presents the average number of transactions per hour." ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:46:56.395273Z", "start_time": "2020-11-30T10:39:59.400428Z" } }, "outputs": [], "source": [ "def ave_hourly_transactions(df):\n", " \"\"\"Return average number of hourly transaction\"\"\"\n", " return (df.groupby(['month', 'day', 'hour'])['trip']\n", " .count()\n", " .groupby('hour')\n", " .mean()\n", " .compute())\n", "\n", "hourly_2019 = ave_hourly_transactions(df_clean_2019)\n", "hourly_2020 = ave_hourly_transactions(df_clean_2020)" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:46:56.410901Z", "start_time": "2020-11-30T10:46:56.399263Z" } }, "outputs": [], "source": [ "# Source: https://chih-ling-hsu.github.io/2018/05/14/NYC\n", "def plt_clock(ax, radii, title, color):\n", " N = 24\n", " bottom = 2\n", "\n", " # create theta for 24 hours\n", " theta = np.linspace(0.0, 2 * np.pi, N, endpoint=False)\n", "\n", "\n", " # width of each bin on the plot\n", " width = (2*np.pi) / N\n", " \n", " bars = ax.bar(theta, radii, width=width, bottom=bottom, color=color,\n", " edgecolor=\"#999999\")\n", "\n", " \n", " ax.set_theta_zero_location(\"N\")\n", " ax.set_theta_direction(-1)\n", "\n", " ax.set_xticks(theta)\n", " ticks = [\"{}:00\".format(x) for x in range(24)]\n", " ax.set_xticklabels(ticks)\n", " ax.set_title(title)" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:46:59.570627Z", "start_time": "2020-11-30T10:46:56.415014Z" } }, "outputs": [ { "data": { "text/markdown": [ "**Figure 10**. Average hourly transactions for 2019 and 2020." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1,2, figsize=(15,15))\n", "\n", "ax = plt.subplot(2,2,1, polar=True)\n", "\n", "radii = np.array(hourly_2019.reset_index()['trip'].tolist(), dtype='int64')\n", "title = 'Average Hourly Transactions for 2019'\n", "plt_clock(ax, radii, title, \"#dc143c\")\n", "\n", "ax = plt.subplot(2,2,2, polar=True)\n", "\n", "radii = np.array(hourly_2020.reset_index()['trip'].tolist(), dtype='int64')\n", "title = 'Average Hourly Transactions for 2020'\n", "printmd(\"**Figure 10**. Average hourly transactions for 2019\"\n", " \" and 2020.\")\n", "plt_clock(ax, radii, title, \"#dc143c\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The general shape and distribution of 2020 generally follows the 2019 graph. The peak average still occurs at 18:00, while the trough happens from 01:00 to 05:00. However, the significant change is seen in the scales. At all times, the average hourly transactions of 2020 are reduced to less than half of 2019." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Since New York has implemented a phased reopening, how did this affect mobility of New Yorkers?" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:46:59.577938Z", "start_time": "2020-11-30T10:46:59.573203Z" } }, "outputs": [ { "data": { "text/html": [ "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%html\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Consistent as well with the news is the phased reopening plan of New York City. Found in [Table 2](#tab2) are the pertinent details of the reopening plan [[18]](#ref18).\n", "\n", "**Table 2**. NYC reopening plan.\n", "\n", "| Date | Phase | Permitted activities | Estimated number
of workers coming back |\n", "| :-: | - | - | - |\n", "| June 8 | Phase 1 | construction, manufacturing, agriculture, forestry, fishing, and select retail that can offer curbside pickup. | 200,00 – 400,000 [[19]](#ref19) |\n", "| June 22 | Phase 2 | outdoor dining at restaurants, hair salons and barber shops, offices, real estate firms, in-store retail, vehicle sales, retail rental, repair services, cleaning services, and commercial building management. | 300,000 [[20]](#ref20)\n", "| July 6 | Phase 3 | indoor dining at restaurants and bars at 50% capacity (excluding New York City)
and personal care services. | No information |\n", "| July 22 | Phase 4 | low-risk outdoor activities at 33% capacity (outdoor zoos, botanical gardens, nature parks, historical sites, outdoor museums, etc.); low-risk indoor activities at 25% capacity are allowed in Phase 4 regions outside of New York City. | No information |\n", "\n", "\n", "Our dataset captures travel activity until Phase 2, and this is presented in [Figure 11](#fig11)." ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "ExecuteTime": { "end_time": "2020-11-30T10:47:00.422892Z", "start_time": "2020-11-30T10:46:59.579857Z" } }, "outputs": [ { "data": { "text/markdown": [ "**Figure 11**. Daily number of transactions from May 1 to June 30, 2020." ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "viz = agg_daily(df_agg_daily_2020, '2020')\n", "\n", "fig, ax = plt.subplots(figsize=(18,5))\n", "viz = viz[viz['month']>=5].reset_index(drop=True)\n", "ax.plot_date(viz['date'], viz['trip'], '-')\n", "\n", "ax.get_yaxis().set_major_formatter(\n", " matplotlib.ticker.FuncFormatter(lambda x,p: format(int(x/1000), ',')))\n", "\n", "myFmt = mdates.DateFormatter('%b-%d-%Y')\n", "ax.xaxis.set_major_formatter(myFmt)\n", "\n", "# Annotation\n", "encircled_date = viz['date'][np.where(viz['date']=='2020-06-08')[0][0]]\n", "val_of_encircled_date = viz['trip'][np.where(viz['date']=='2020-06-08')[0][0]]\n", "ax.annotate(text=\"\"\"\n", " June 6, 2020\n", " Implementation of Phase I\"\"\",\n", " xy=(encircled_date, 25_000))\n", "\n", "ax.plot_date(encircled_date, val_of_encircled_date,\n", " marker='o',\n", " markerfacecolor='red', markersize=20,\n", " alpha = 0.5)\n", "ax.axvline(x=encircled_date, linestyle='--', color='red')\n", "\n", "# # Annotation\n", "encircled_date = viz['date'][np.where(viz['date']=='2020-06-22')[0][0]]\n", "val_of_encircled_date = viz['trip'][np.where(viz['date']=='2020-06-22')[0][0]]\n", "ax.annotate(text=\"\"\"\n", " June 22, 2020\n", " Implementation of Phase II\"\"\",\n", " xy=(encircled_date, 25_000))\n", "\n", "ax.plot_date(encircled_date, val_of_encircled_date,\n", " marker='o',\n", " markerfacecolor='red', markersize=20,\n", " alpha = 0.5)\n", "ax.axvline(x=encircled_date, linestyle='--', color='red')\n", "\n", "\n", "ax.set_xlabel('Day of Transaction')\n", "ax.set_ylabel('Number of Trips (in thousands)')\n", "ax.set_ylim(top=30_000)\n", "printmd(\"**Figure 11**. Daily number of transactions from\"\n", " \" May 1 to June 30, 2020.\")\n", "plt.show();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "With the implementation of the phased opening, the cyclical graph now has an upward trajectory, signifying increased ridership as the economy further opens and more people come back to work. Consistent with our findings in [Figure 4](#fig4) and [Figure 5](#fig5), the cyclical nature persists because of the low ridership on weekends. In 2020, this pattern persists as non-essential travel is still discouraged by the New York State government." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
CONCLUSION AND RECOMMENDATIONS
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In understanding mobility in the time of pandemic, we should contextualize it to the events and government response at the time. With non-essential travel prohibited by the government, demand for taxi rides experienced a significant drop despite having no explicit ban from the New York State government. When people do travel, New Yorkers are compliant with rules, as they mostly ride taxis alone. However, because of a ban on cashless transactions for the sake of financial inclusion, cash transactions still oddly reign supreme in the time of a pandemic. In terms of travel patterns, there have been no significant change in where people are headed to, coming from, and what time they leave. The effects of the pandemic for taxi rides are seen instead in the volume of transactions, thus negatively affecting the livelihoods of taxi drivers. With the reopening of New York in June 6, 2020, we are seeing an upward trajectory in the number of transactions, and we expect for this upward, cyclical trend to continue as the months pass.\n", "\n", "Today, New York is still in Phase 4 of its reopening plan. In Phase 4, indoor dining and nonessential businesses are allowed to open and resume business, and hopefully this means more trips with precautionary measures for NYC taxi drivers. We await updated figures from the NYC TLC to map travel behavior along with more recent events. \n", "\n", "To further improve the study, we recommend the following:\n", "1. Mapping interzone travel along with movement of COVID-19 patients to see how the virus spread in New York;\n", "2. Conducting unsupervised learning on taxi transactions and mapping this along with COVID-19 hotspots to find similar characteristics in the movement of individuals; and\n", "3. Include transactions made through ride-hailing apps to provide a bigger picture on the effects of the pandemic in the on-demand transportation industry." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
REFERENCES
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "[1] World Health Organization. (2020). Timeline of WHO’s response to COVID-19. Retrieved on November 25, 2020 from https://www.who.int/news/item/29-06-2020-covidtimeline\n", "\n", "[2] Goldstein, J. and McKinley, J. (2020). Coronavirus in N.Y.: Manhattan Woman Is First Confirmed Case in State. Accessed on November 28, 2020 from https://www.nytimes.com/2020/03/01/nyregion/new-york-coronvirus-confirmed.html\n", "\n", "[3] Edelman, S. (2020). Two pols urge de Blasio to oust Health Commissioner Barbot over coronavirus response. Accessed on November 28, 2020 from https://nypost.com/2020/04/04/nyc-pols-urge-de-blasio-to-oust-health-commissioner-over-coronavirus-response/\n", "\n", "[4] Dzhanova, Y. (2020). New York state now has more coronavirus cases than any country outside the US. 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